principal component-discriminant analysis

initialism: PC-DA
https://doi.org/10.1351/goldbook.10105

Discriminant analysis on a multivariate data set that has been subject to principal-component analysis.

Note: This procedure removes collinearity from the multivariate data and ensures that the new predictor variables, which are PCA scores, are distributed normally.
Source:
PAC, 2016, 88, 407. (Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)) on page 423 [Terms] [Paper]